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The latest News and Information on Log Management, Log Analytics and related technologies.

How Payconiq Centralized Monitoring and Enabled Real-Time Insights with Elastic

Yannick Boulleys, Head of Platform at Payconiq, shares how Elastic helped the company consolidate fragmented monitoring tools into a single platform. With real-time user monitoring, built-in anomaly detection, and GenAI-powered root cause analysis, Elastic has transformed how Payconiq manages system visibility, consumer behavior, and cost efficiency, without requiring deep technical expertise.

Kibana Logs: Advanced Query Patterns and Visualization Techniques

Kibana gives you a structured way to explore log data indexed in Elasticsearch. With the right queries and visualizations, you can identify anomalies, debug issues more quickly, and track trends across services. This blog covers practical ways to query logs using Kibana’s Lucene and KQL syntax, build visualizations that surface meaningful signals, and set up dashboards for ongoing log-based monitoring.

Build Log Automation with Last9's Query API

Manual log investigation is one of those engineering tasks that quietly drains hours without offering much real value. You're debugging an incident. Monitoring shows elevated error rates. Now begins the familiar drill: It’s a tedious cycle, and it doesn’t scale. The whole process breaks down when you’re trying to automate incident response, run continuous security monitoring, or generate compliance reports.

How to Troubleshoot Outages Faster Using Elastic Observability [2 Min Live Demo]

In this video, I’ll show you how Elastic Observability helps you reduce downtime, accelerate root cause analysis, and unify logs, metrics, and traces in one powerful dashboard. With native OpenTelemetry support, AI-powered troubleshooting, and built-in anomaly detection, you can streamline your workflows and boost service reliability.

Splunk Named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms

We are proud to announce that Splunk has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the third year in a row. In our opinion, our recognition in the Observability category comes on the heels of Splunk being recognized for a tenth consecutive time as a Leader in the 2024 Gartner Magic Quadrant for Security Information and Event Management (SIEM). Splunk was the only vendor named a Leader in both SIEM and Observability for the Gartner Magic Quadrant three times.

Introducing Coralogix's MCP Server: Helping customers build smarter AI agents

Now available: Secure, real-time access to your observability data via Coralogix’s Model Context Protocol (MCP) Server. AI agents are only as powerful as the context they’re given. Today, we’re excited to announce the launch of the Coralogix MCP Server, which enables third-party AI agents to connect directly to your observability data across production, staging, and other environments.

Observability as Code: Why You Should You Use OaC

Key takeaways In the fast-moving world of CI/CD pipelines, microservice architectures, and container orchestration, software changes rapidly. What exists in a codebase today might be gone next week. At this scale and speed, it’s impossible for development teams to manually track every line of code and every new piece of functionality.

Elastic named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms

Observability has an investigation problem, and dashboards and alerts aren’t enough for solving problems in today’s complex systems. AI-driven capabilities, powerful analytics, and the ability to scale are essential to drive real-time investigations while keeping costs low. We think this is why Elastic has been named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second time.

Cloud Log Management: A Developer's Guide to Scalable Observability

As systems move to microservices, serverless, and multi-cloud setups, debugging gets harder. You’re no longer dealing with a single log file; you’re looking at logs from dozens of services, running across different environments. Traditional debugging methods like SSH-ing into servers or adding print statements don’t scale in these environments. Cloud log management tools help by collecting logs from all your services into one place.